Towards a circular economy for electrical products: A systematic literature review and research agenda for automated recycling

P Bründl, A Scheck, HG Nguyen, J Franke - Robotics and Computer …, 2024 - Elsevier
The growing need for sustainable waste management, especially for electronic waste (e-
waste), has gained attention due to its environmental and economic implications. Despite …

A comprehensive review on human–robot collaboration remanufacturing towards uncertain and dynamic disassembly

J Xiao, K Huang - Manufacturing Review, 2024 - mfr.edp-open.org
With the continuously increasing volumes of End-of-Life (EOL) products and the emergence
of Industry 4.0-related technologies, the manual labor-intensive disassembly in …

TransFusion: A practical and effective transformer-based diffusion model for 3d human motion prediction

S Tian, M Zheng, X Liang - IEEE Robotics and Automation …, 2024 - ieeexplore.ieee.org
Predicting human motion plays a crucial role in ensuring a safe and effective human-robot
close collaboration in intelligent remanufacturing systems of the future. Existing works can …

Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field

S Suh, VF Rey, S Bian, YC Huang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Manufacturing industries strive to improve production efficiency and product quality by
deploying advanced sensing and control systems. Wearable sensors are emerging as a …

A skeleton-based assembly action recognition method with feature fusion for human-robot collaborative assembly

D Liu, Y Huang, Z Liu, H Mao, P Kan, J Tan - Journal of Manufacturing …, 2024 - Elsevier
Human-robot collaborative assembly (HRCA) is one of the current trends of intelligent
manufacturing, and assembly action recognition is the basis of and the key to HRCA. A multi …

Multiscale and multilevel enhanced features for ship target recognition in complex environments

Y Tian, H Meng, F Yuan - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
The size and position of a moving ship can vary greatly, resulting in different target sizes
within the image captured by an imaging device. This variability can significantly impact the …

C-DTW for human action recognition based on nanogenerator

H Xu, R Feng, W Zhang - Sensors, 2023 - mdpi.com
Sensor-based human action recognition (HAR) is considered to have broad practical
prospects. It applies to wearable devices to collect plantar pressure or acceleration …

Early Prediction of Human Intention for Human–Robot Collaboration Using Transformer Network

X Zhang, S Tian, X Liang… - … of Computing and …, 2024 - asmedigitalcollection.asme.org
Human intention prediction plays a critical role in human–robot collaboration, as it helps
robots improve efficiency and safety by accurately anticipating human intentions and …

A Multiple WiFi Sensors Assisted Human Activity Recognition Scheme for Smart Home

J Ding, Y Wang, Q Xie, J Niu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
With the development of wireless communication technology, wireless signal has been
expanded from mobile communication to behavioral sensing. In particular, human activity …

RD-Diff: RLTransformer-Based Diffusion Model with Diversity-Inducing Modulator for Human Motion Prediction

H Zhang, MC Leong, L Li, W Lin - Proceedings of the Asian …, 2024 - openaccess.thecvf.com
Abstract Human Motion Prediction (HMP) is crucial for human-robot collaboration,
surveillance, and autonomous driving applications. Recently, diffusion models have shown …